
- •Contents
- •Introduction
- •Who This Book Is For
- •What This Book Covers
- •How This Book Is Structured
- •What You Need to Use This Book
- •Conventions
- •Source Code
- •Errata
- •p2p.wrox.com
- •The Basics of C++
- •The Obligatory Hello, World
- •Namespaces
- •Variables
- •Operators
- •Types
- •Conditionals
- •Loops
- •Arrays
- •Functions
- •Those Are the Basics
- •Diving Deeper into C++
- •Pointers and Dynamic Memory
- •Strings in C++
- •References
- •Exceptions
- •The Many Uses of const
- •C++ as an Object-Oriented Language
- •Declaring a Class
- •Your First Useful C++ Program
- •An Employee Records System
- •The Employee Class
- •The Database Class
- •The User Interface
- •Evaluating the Program
- •What Is Programming Design?
- •The Importance of Programming Design
- •Two Rules for C++ Design
- •Abstraction
- •Reuse
- •Designing a Chess Program
- •Requirements
- •Design Steps
- •An Object-Oriented View of the World
- •Am I Thinking Procedurally?
- •The Object-Oriented Philosophy
- •Living in a World of Objects
- •Object Relationships
- •Abstraction
- •Reusing Code
- •A Note on Terminology
- •Deciding Whether or Not to Reuse Code
- •Strategies for Reusing Code
- •Bundling Third-Party Applications
- •Open-Source Libraries
- •The C++ Standard Library
- •Designing with Patterns and Techniques
- •Design Techniques
- •Design Patterns
- •The Reuse Philosophy
- •How to Design Reusable Code
- •Use Abstraction
- •Structure Your Code for Optimal Reuse
- •Design Usable Interfaces
- •Reconciling Generality and Ease of Use
- •The Need for Process
- •Software Life-Cycle Models
- •The Stagewise and Waterfall Models
- •The Spiral Method
- •The Rational Unified Process
- •Software-Engineering Methodologies
- •Extreme Programming (XP)
- •Software Triage
- •Be Open to New Ideas
- •Bring New Ideas to the Table
- •Thinking Ahead
- •Keeping It Clear
- •Elements of Good Style
- •Documenting Your Code
- •Reasons to Write Comments
- •Commenting Styles
- •Comments in This Book
- •Decomposition
- •Decomposition through Refactoring
- •Decomposition by Design
- •Decomposition in This Book
- •Naming
- •Choosing a Good Name
- •Naming Conventions
- •Using Language Features with Style
- •Use Constants
- •Take Advantage of const Variables
- •Use References Instead of Pointers
- •Use Custom Exceptions
- •Formatting
- •The Curly Brace Alignment Debate
- •Coming to Blows over Spaces and Parentheses
- •Spaces and Tabs
- •Stylistic Challenges
- •Introducing the Spreadsheet Example
- •Writing Classes
- •Class Definitions
- •Defining Methods
- •Using Objects
- •Object Life Cycles
- •Object Creation
- •Object Destruction
- •Assigning to Objects
- •Distinguishing Copying from Assignment
- •The Spreadsheet Class
- •Freeing Memory with Destructors
- •Handling Copying and Assignment
- •Different Kinds of Data Members
- •Static Data Members
- •Const Data Members
- •Reference Data Members
- •Const Reference Data Members
- •More about Methods
- •Static Methods
- •Const Methods
- •Method Overloading
- •Default Parameters
- •Inline Methods
- •Nested Classes
- •Friends
- •Operator Overloading
- •Implementing Addition
- •Overloading Arithmetic Operators
- •Overloading Comparison Operators
- •Building Types with Operator Overloading
- •Pointers to Methods and Members
- •Building Abstract Classes
- •Using Interface and Implementation Classes
- •Building Classes with Inheritance
- •Extending Classes
- •Overriding Methods
- •Inheritance for Reuse
- •The WeatherPrediction Class
- •Adding Functionality in a Subclass
- •Replacing Functionality in a Subclass
- •Respect Your Parents
- •Parent Constructors
- •Parent Destructors
- •Referring to Parent Data
- •Casting Up and Down
- •Inheritance for Polymorphism
- •Return of the Spreadsheet
- •Designing the Polymorphic Spreadsheet Cell
- •The Spreadsheet Cell Base Class
- •The Individual Subclasses
- •Leveraging Polymorphism
- •Future Considerations
- •Multiple Inheritance
- •Inheriting from Multiple Classes
- •Naming Collisions and Ambiguous Base Classes
- •Interesting and Obscure Inheritance Issues
- •Special Cases in Overriding Methods
- •Copy Constructors and the Equals Operator
- •The Truth about Virtual
- •Runtime Type Facilities
- •Non-Public Inheritance
- •Virtual Base Classes
- •Class Templates
- •Writing a Class Template
- •How the Compiler Processes Templates
- •Distributing Template Code between Files
- •Template Parameters
- •Method Templates
- •Template Class Specialization
- •Subclassing Template Classes
- •Inheritance versus Specialization
- •Function Templates
- •Function Template Specialization
- •Function Template Overloading
- •Friend Function Templates of Class Templates
- •Advanced Templates
- •More about Template Parameters
- •Template Class Partial Specialization
- •Emulating Function Partial Specialization with Overloading
- •Template Recursion
- •References
- •Reference Variables
- •Reference Data Members
- •Reference Parameters
- •Reference Return Values
- •Deciding between References and Pointers
- •Keyword Confusion
- •The const Keyword
- •The static Keyword
- •Order of Initialization of Nonlocal Variables
- •Types and Casts
- •typedefs
- •Casts
- •Scope Resolution
- •Header Files
- •C Utilities
- •Variable-Length Argument Lists
- •Preprocessor Macros
- •How to Picture Memory
- •Allocation and Deallocation
- •Arrays
- •Working with Pointers
- •Array-Pointer Duality
- •Arrays Are Pointers!
- •Not All Pointers Are Arrays!
- •Dynamic Strings
- •C-Style Strings
- •String Literals
- •The C++ string Class
- •Pointer Arithmetic
- •Custom Memory Management
- •Garbage Collection
- •Object Pools
- •Function Pointers
- •Underallocating Strings
- •Memory Leaks
- •Double-Deleting and Invalid Pointers
- •Accessing Out-of-Bounds Memory
- •Using Streams
- •What Is a Stream, Anyway?
- •Stream Sources and Destinations
- •Output with Streams
- •Input with Streams
- •Input and Output with Objects
- •String Streams
- •File Streams
- •Jumping around with seek() and tell()
- •Linking Streams Together
- •Bidirectional I/O
- •Internationalization
- •Wide Characters
- •Non-Western Character Sets
- •Locales and Facets
- •Errors and Exceptions
- •What Are Exceptions, Anyway?
- •Why Exceptions in C++ Are a Good Thing
- •Why Exceptions in C++ Are a Bad Thing
- •Our Recommendation
- •Exception Mechanics
- •Throwing and Catching Exceptions
- •Exception Types
- •Throwing and Catching Multiple Exceptions
- •Uncaught Exceptions
- •Throw Lists
- •Exceptions and Polymorphism
- •The Standard Exception Hierarchy
- •Catching Exceptions in a Class Hierarchy
- •Writing Your Own Exception Classes
- •Stack Unwinding and Cleanup
- •Catch, Cleanup, and Rethrow
- •Use Smart Pointers
- •Common Error-Handling Issues
- •Memory Allocation Errors
- •Errors in Constructors
- •Errors in Destructors
- •Putting It All Together
- •Why Overload Operators?
- •Limitations to Operator Overloading
- •Choices in Operator Overloading
- •Summary of Overloadable Operators
- •Overloading the Arithmetic Operators
- •Overloading Unary Minus and Unary Plus
- •Overloading Increment and Decrement
- •Overloading the Subscripting Operator
- •Providing Read-Only Access with operator[]
- •Non-Integral Array Indices
- •Overloading the Function Call Operator
- •Overloading the Dereferencing Operators
- •Implementing operator*
- •Implementing operator->
- •What in the World Is operator->* ?
- •Writing Conversion Operators
- •Ambiguity Problems with Conversion Operators
- •Conversions for Boolean Expressions
- •How new and delete Really Work
- •Overloading operator new and operator delete
- •Overloading operator new and operator delete with Extra Parameters
- •Two Approaches to Efficiency
- •Two Kinds of Programs
- •Is C++ an Inefficient Language?
- •Language-Level Efficiency
- •Handle Objects Efficiently
- •Use Inline Methods and Functions
- •Design-Level Efficiency
- •Cache as Much as Possible
- •Use Object Pools
- •Use Thread Pools
- •Profiling
- •Profiling Example with gprof
- •Cross-Platform Development
- •Architecture Issues
- •Implementation Issues
- •Platform-Specific Features
- •Cross-Language Development
- •Mixing C and C++
- •Shifting Paradigms
- •Linking with C Code
- •Mixing Java and C++ with JNI
- •Mixing C++ with Perl and Shell Scripts
- •Mixing C++ with Assembly Code
- •Quality Control
- •Whose Responsibility Is Testing?
- •The Life Cycle of a Bug
- •Bug-Tracking Tools
- •Unit Testing
- •Approaches to Unit Testing
- •The Unit Testing Process
- •Unit Testing in Action
- •Higher-Level Testing
- •Integration Tests
- •System Tests
- •Regression Tests
- •Tips for Successful Testing
- •The Fundamental Law of Debugging
- •Bug Taxonomies
- •Avoiding Bugs
- •Planning for Bugs
- •Error Logging
- •Debug Traces
- •Asserts
- •Debugging Techniques
- •Reproducing Bugs
- •Debugging Reproducible Bugs
- •Debugging Nonreproducible Bugs
- •Debugging Memory Problems
- •Debugging Multithreaded Programs
- •Debugging Example: Article Citations
- •Lessons from the ArticleCitations Example
- •Requirements on Elements
- •Exceptions and Error Checking
- •Iterators
- •Sequential Containers
- •Vector
- •The vector<bool> Specialization
- •deque
- •list
- •Container Adapters
- •queue
- •priority_queue
- •stack
- •Associative Containers
- •The pair Utility Class
- •multimap
- •multiset
- •Other Containers
- •Arrays as STL Containers
- •Strings as STL Containers
- •Streams as STL Containers
- •bitset
- •The find() and find_if() Algorithms
- •The accumulate() Algorithms
- •Function Objects
- •Arithmetic Function Objects
- •Comparison Function Objects
- •Logical Function Objects
- •Function Object Adapters
- •Writing Your Own Function Objects
- •Algorithm Details
- •Utility Algorithms
- •Nonmodifying Algorithms
- •Modifying Algorithms
- •Sorting Algorithms
- •Set Algorithms
- •The Voter Registration Audit Problem Statement
- •The auditVoterRolls() Function
- •The getDuplicates() Function
- •The RemoveNames Functor
- •The NameInList Functor
- •Testing the auditVoterRolls() Function
- •Allocators
- •Iterator Adapters
- •Reverse Iterators
- •Stream Iterators
- •Insert Iterators
- •Extending the STL
- •Why Extend the STL?
- •Writing an STL Algorithm
- •Writing an STL Container
- •The Appeal of Distributed Computing
- •Distribution for Scalability
- •Distribution for Reliability
- •Distribution for Centrality
- •Distributed Content
- •Distributed versus Networked
- •Distributed Objects
- •Serialization and Marshalling
- •Remote Procedure Calls
- •CORBA
- •Interface Definition Language
- •Implementing the Class
- •Using the Objects
- •A Crash Course in XML
- •XML as a Distributed Object Technology
- •Generating and Parsing XML in C++
- •XML Validation
- •Building a Distributed Object with XML
- •SOAP (Simple Object Access Protocol)
- •. . . Write a Class
- •. . . Subclass an Existing Class
- •. . . Throw and Catch Exceptions
- •. . . Read from a File
- •. . . Write to a File
- •. . . Write a Template Class
- •There Must Be a Better Way
- •Smart Pointers with Reference Counting
- •Double Dispatch
- •Mix-In Classes
- •Object-Oriented Frameworks
- •Working with Frameworks
- •The Model-View-Controller Paradigm
- •The Singleton Pattern
- •Example: A Logging Mechanism
- •Implementation of a Singleton
- •Using a Singleton
- •Example: A Car Factory Simulation
- •Implementation of a Factory
- •Using a Factory
- •Other Uses of Factories
- •The Proxy Pattern
- •Example: Hiding Network Connectivity Issues
- •Implementation of a Proxy
- •Using a Proxy
- •The Adapter Pattern
- •Example: Adapting an XML Library
- •Implementation of an Adapter
- •Using an Adapter
- •The Decorator Pattern
- •Example: Defining Styles in Web Pages
- •Implementation of a Decorator
- •Using a Decorator
- •The Chain of Responsibility Pattern
- •Example: Event Handling
- •Implementation of a Chain of Responsibility
- •Using a Chain of Responsibility
- •Example: Event Handling
- •Implementation of an Observer
- •Using an Observer
- •Chapter 1: A Crash Course in C++
- •Chapter 3: Designing with Objects
- •Chapter 4: Designing with Libraries and Patterns
- •Chapter 5: Designing for Reuse
- •Chapter 7: Coding with Style
- •Chapters 8 and 9: Classes and Objects
- •Chapter 11: Writing Generic Code with Templates
- •Chapter 14: Demystifying C++ I/O
- •Chapter 15: Handling Errors
- •Chapter 16: Overloading C++ Operators
- •Chapter 17: Writing Efficient C++
- •Chapter 19: Becoming Adept at Testing
- •Chapter 20: Conquering Debugging
- •Chapter 24: Exploring Distributed Objects
- •Chapter 26: Applying Design Patterns
- •Beginning C++
- •General C++
- •I/O Streams
- •The C++ Standard Library
- •C++ Templates
- •Integrating C++ and Other Languages
- •Algorithms and Data Structures
- •Open-Source Software
- •Software-Engineering Methodology
- •Programming Style
- •Computer Architecture
- •Efficiency
- •Testing
- •Debugging
- •Distributed Objects
- •CORBA
- •XML and SOAP
- •Design Patterns
- •Index

Chapter 8
|
. . . then the compiler |
. . . and you can |
|
If you define . . . |
generates . . . |
create an object . . . |
Example |
|
|
|
|
A copy constructor |
No constructors |
Theoretically, as a copy |
No example. |
only |
|
of another object. |
|
|
|
Practically, you can’t |
|
|
|
create any objects. |
|
A single-argument |
A copy constructor |
With arguments. |
SpreadsheetCell |
(noncopy constructor) |
|
As a copy of another |
cell(6); |
or multiargument |
|
object. |
SpreadsheetCell |
constructor only |
|
|
myCell(cell); |
A 0-argument |
A copy constructor |
With no arguments. |
SpreadsheetCell |
constructor as well |
|
With arguments. |
cell; |
as a single-argument |
|
As a copy of another |
SpreadsheetCell |
(noncopy constructor) |
|
object. |
myCell(5); |
or multiargument |
|
|
SpreadsheetCell |
constructor |
|
|
anotherCell(cell); |
|
|
|
|
Note the lack of symmetry between the default constructor and the copy constructor. As long as you don’t define a copy constructor explicitly, the compiler creates one for you. On the other hand, as soon as you define any constructor, the compiler stops generating a default constructor.
Object Destruction
When an object is destroyed, two events occur: the object’s destructor method is called, and the memory it was taking up is freed. The destructor is your chance to perform any cleanup work for the object, such as freeing dynamically allocated memory or closing file handles. If you don’t declare a destructor, the compiler will write one for you that does recursive memberwise destruction and allows the object to be deleted. The section on dynamic memory allocation in Chapter 9 shows you how to write a destructor.
Objects on the stack are destroyed when they go out of scope, which means whenever the current function, method, or other execution block ends. In other words, whenever the code encounters an ending curly brace, any objects created on the stack within those curly braces are destroyed. The following program shows this behavior:
int main(int argc, char** argv)
{
SpreadsheetCell myCell(5);
if (myCell.getValue() == 5) { SpreadsheetCell anotherCell(6);
} // anotherCell is destroyed as this block ends.
cout << “myCell: “ << myCell.getValue() << endl;
return (0);
} // myCell is destroyed as this block ends.
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Gaining Proficiency with Classes and Objects
Objects on the stack are destroyed in the reverse order of their declaration (and construction). For example, in the following code fragment, myCell2 is allocated before anotherCell2, so anotherCell2 is destroyed before myCell2 (note that you can start a new code block at any point in your program with an opening curly brace):
{
SpreadsheetCell myCell2(4);
SpreadsheetCell anotherCell2(5); // myCell2 constructed before anotherCell2 } // anotherCell2 destroyed before myCell2
This ordering applies to objects that are data members of other objects. Recall that data members are initialized in the order of their declaration in the class. Thus, following the rule that objects are destroyed in the reverse order of their construction, data member objects are destroyed in the reverse order of their declaration in the class.
Objects allocated on the heap are not destroyed automatically. You must call delete on the object pointer to call its destructor and free the memory. The following program shows this behavior:
int main(int argc, char** argv)
{
SpreadsheetCell* cellPtr1 = new SpreadsheetCell(5); SpreadsheetCell* cellPtr2 = new SpreadsheetCell(6);
cout << “cellPtr1: “ << cellPtr1->getValue() << endl;
delete cellPtr1; // Destroys cellPtr1
return (0);
} // cellPtr2 is NOT destroyed because delete was not called on it.
Assigning to Objects
Just as you can assign the value of one int to another in C++, you can assign the value of one object to another. For example, the following code assigns the value of myCell to anotherCell:
SpreadsheetCell myCell(5), anotherCell;
anotherCell = myCell;
You might be tempted to say that myCell is “copied” to anotherCell. However, in the world of C++, “copying” only occurs when an object is being initialized. If an object already has a value that is being overwritten, the more accurate term is “assigned” to. Note that the facility that C++ provides for copying is the copy constructor. Since it is a constructor, it can only be used for object creation, not for later assignments to the object.
Therefore, C++ provides another method in every class to perform assignment. This method is called the assignment operator. Its name is operator= because it is actually an overloading of the = operator for that class. In the above example, the assignment operator for anotherCell is called, with myCell as the argument.
177

Chapter 8
As usual, if you don’t write your own assignment operator, C++ writes one for you to allow objects to be assigned to one another. The default C++ assignment behavior is almost identical to its default copying behavior: it recursively assigns each data member from the source to the destination object. The syntax is slightly tricky, though.
Declaring an Assignment Operator
Here is another attempt at the SpreadsheetCell class definition, this time including an assignment operator:
class SpreadsheetCell
{
public:
SpreadsheetCell(); SpreadsheetCell(double initialValue);
SpreadsheetCell(const string& initialValue); SpreadsheetCell(const SpreadsheetCell &src); SpreadsheetCell& operator=(const SpreadsheetCell& rhs); void setValue(double inValue);
double getValue();
void setString(const string& inString); string getString();
protected:
string doubleToString(double inValue);
double stringToDouble(const string& inString);
double mValue; string mString;
};
The assignment operator, like the copy constructor, takes a const reference to the source object. In this case, we call the source object rhs, which stands for “right-hand side” of the equals sign. The object on which the assignment operator is called is the left-hand side of the equals sign.
Unlike a copy constructor, the assignment operator returns a reference to a SpreadsheetCell object. The reason is that assignments can be chained, as in the following example:
myCell = anotherCell = aThirdCell;
When that line is executed, the first thing that happens is that the assignment operator for anotherCell is called with aThirdCell as its “right-hand side” parameter. Next, the assignment operator for myCell is called. However, its parameter is not anotherCell. Its right-hand side is the result of the assignment of aThirdCell to anotherCell. If that assignment fails to return a result, there is nothing to pass to myCell!
You might be wondering why the assignment operator for myCell can’t just take anotherCell. The reason is that using the equals sign is actually just shorthand for what is really a method call. When you look at the line in its full functional syntax, you can see the problem:
myCell.operator=(anotherCell.operator=(aThirdCell));
178

Gaining Proficiency with Classes and Objects
Now, you can see that the operator= call from anotherCell must return a value, which is passed to the operator= call for myCell. The correct value to return is anotherCell itself, so it can serve as the source for the assignment to myCell. However, returning anotherCell directly would be inefficient, so you can return a reference to anotherCell.
You could actually declare the assignment operator to return whatever type you wanted, including void. However, you should always return a reference to the object on which it is called because that’s what clients expect.
Defining an Assignment Operator
The implementation of the assignment operator is similar to that of a copy constructor, with several important differences. First, a copy constructor is called only for initialization, so the destination object does not yet have valid values. An assignment operator can overwrite the current values in an object. This consideration doesn’t really come into play until you have dynamically allocated memory in your objects. See Chapter 10 for details.
Second, it’s legal in C++ to assign an object to itself. For example, the following code compiles and runs:
SpreadsheetCell cell(4);
cell = cell; // Self-assignment
Your assignment operator shouldn’t prohibit self-assignment, but also shouldn’t perform a full assignment if it happens. Thus, assignment operators should check for self-assignment at the beginning of the method and return immediately.
Here is the definition of the assignment operator for the SpreadsheetCell class:
SpreadsheetCell& SpreadsheetCell::operator=(const SpreadsheetCell& rhs)
{
if (this == &rhs) {
The previous line checks for self-assignment, but is a bit cryptic. Self-assignment occurs when the lefthand side and the right-hand side of the equals sign are the same. One way to tell if two objects are the same is if they occupy the same memory location — more explicitly, if pointers to them are equal. Recall that this is a pointer to an object accessible from any method called on the object. Thus, this is a pointer to the left-hand side object. Similarly, &rhs is a pointer to the right-hand-side object. If these pointers are equal, the assignment must be self-assignment.
return (*this);
}
this is a pointer to the object on which the method executes, so *this is the object itself. The compiler will return a reference to the object to match the declared return value.
mValue = rhs.mValue;
mString = rhs.mString;
179